Search Packages

scikit-surprise

A Python scikit for building and analyzing recommender systems

neural-memory-mcp

Knowledge graph plugin for Claude Code - map your codebase into layered, navigable neural nodes

pyreclab

Library for quickly testing and prototyping of traditional recommender system methods

cherab-inversion

CHERAB for inversion tools

crikit2

CRIKit2 is a hyperspectral imaging toolkit formerly known as the coherent Raman imaging toolkit.

spectral-kv

Up to 28x KV cache compression for LLMs via spectral SVD projection. Practically lossless on modern architectures.

rho-eval

Behavioral auditing toolkit for LLMs — audit any model across 8 dimensions (factual, toxicity, bias, sycophancy, reasoning, refusal, deception, over-refusal) using teacher-forced confidence probes.

ristretto

Randomized Dimension Reduction Library

diffred

[AISTATS 2024] DiffRed: Dimensionality Reduction guided by stable rank

scikit-surprise-2

A Python scikit for building and analyzing recommender systems

knowledge-fidelity

Compress LLMs while auditing whether they still know truth vs myths. SVD compression + false-belief detection in one toolkit.

simpliml

Machine Learning, Artificial Intelligence, Mathematics

delayedsparse

Delayed sparse matrix in Python

regml

Regularization Methods for Machine Learning

matrix-fact

Matrix Factorization Library

tfrec

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

sorsa

SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models

tfcf

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.